Anas's repositories
audioannotate-workshop
Workshop project
awesome-deep-learning-music
List of articles related to deep learning applied to music
denoising-historical-recordings
A two-stage U-Net for high-fidelity denoising of historical recordings
django-rdf-io
Simple RDF serialiser/deserialiser to support synching a django model with an external triple-store
django-tailordev-biblio
:books: Bibliography management for your django projects.
iiif-av
The International Image Interoperability Framework (IIIF) Audio/Visual (A/V) Technical Specification Group aims to extend to A/V the benefits of interoperability and the growing ecosystem of clients and servers that IIIF provides for images. This repository contains user stories and mockups for interoperable A/V content – contributions are welcome.
jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
jupyterhub
Multi-user server for Jupyter notebooks
ofxATK
C++ Audio Tool Kit designed for openFrameworks
ofxOpenCvDnnObjectDetection
OpenCV based DNN Object Detection Library for Openframeworks
opencollective
Organizing the Internet Generation
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
python-arabic-reshaper
Reconstruct Arabic sentences to be used in applications that don't support Arabic
python-guide
Python best practices guidebook, written for Humans.
Saramusik_mining_historical_music_documents
mining historical music documents in the Arabic language.
scikit-learn
scikit-learn: machine learning in Python
setuptools-git
setuptools plugin to include all git tracked files in your tarballs
SymbTr
Turkish Makam Music Symbolic Data Collection
Telemeta-locales
Language translations and locales for Telemeta based projects
Telemeta-pages
Various flat pages for Telemeta based projects
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
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